AI Data Discovery Data Platform 
IBM Journey to AI blog
JUNE 27, 2024
Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments. But firms need complete audit trails and monitoring systems.
IBM Journey to AI blog
JANUARY 18, 2023
Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
IBM Journey to AI blog
MAY 9, 2023
IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?
Marktechpost
APRIL 19, 2024
In a dynamic environment where the idea of a “modern” data stack is quickly becoming outdated, managing distributed data is challenging and resource-intensive, necessitating specialized teams, a wide variety of tools, and high costs. Furthermore, the business teams need help to obtain and effectively utilize this data.
IBM Journey to AI blog
JULY 3, 2024
By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses. Data is exploding, both in volume and in variety.
Marktechpost
MARCH 12, 2024
Even among datasets that include the same subject matter, there is no standard layout of files or data formats. This obstacle lowers productivity through machine learning development—from data discovery to model training. From the beginning, the primary objective of the Croissant initiative was to promote Responsible AI (RAI).
IBM Journey to AI blog
JANUARY 5, 2023
The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.
Expert insights. Personalized for you.
305 
Let's personalize your content